Ontologia
Aloidendron dichotomum

Aloidendron dichotomum

(Masson) Klopper & Gideon F.Sm.

VULR Monde (IUCN)
1 photo · Licences CC (Wikimedia Commons / iNaturalist)Click pour agrandir
Pays · région · aire protégée · écorégion · biome

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Calcul du tissu écologique de Aloidendron dichotomum.

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Liste rouge IUCN

VU · Vulnérablecritères A4aceDécroissante
Évaluation complète
Évaluation
2022 · v3.1
Altitude
600900 m
Profondeur
m
État de la populationExpert

Subpopulations are scattered into discrete subpopulations, some with >100 km between them, and range in size from <100 to 50,000+ individuals. Observations have been largely restricted to road-sides and since roads are sparse in this vast arid region, much of the range remains unsurveyed. Aloidendendron dichotomum occurs in both summer and winter rainfall areas, varying topographies and on multiple soil types and gradients (Foden et al. 2007). The reasons for the discontinuities between subpopulations are unknown.

Because dead trees decay very slowly in the species’ arid habitat, often remaining standing for at least a decade, it is possible to measure each subpopulation’s relative mortality. Similarly, individuals’ slow growth (they reach maximum height at approximately 80–120 years) and clear age stages to senescence, at least 200 years (Vogel 1974) and possibly up to 350 years (Foden et al. 2007), make subpopulation age structure and recruitment history apparent.

Ongoing long-term monitoring of 40 subpopulations from across the species’ range spans 18 years to date (2003 to 2021), with all surveyed in 2003, most again in 2008, and a subsample of sites resurveyed in 2018, 2020 or 2021 (Foden et al., unpublished). The most northerly subpopulations remain to be surveyed after 2008. Calculated using a 100-year ‘shifting window’ from 2003–2102, based on the longest of the monitoring intervals measured since 2003, an overall population decline of 26.2% by 2102 was inferred, assuming linear population decline rates. Further, by 2102 sixteen individual subpopulations are projected to become extinct, nine to decrease by >30% and seven to increase by >30%. In eight subpopulations no juveniles were found at any point during the survey. Twenty-four subpopulations are projected to lose all juveniles by 2102, but six to increase juvenile percentage by >30%. With higher levels of mortality present in northerly populations once the northern subpopulations are resampled it is likely that the population decline projections to 2102 will exceed 30%.

A climate change explanation for A. dichotomum's suspected decline is supported by three independent lines of evidence. Firstly, observed declines correspond to changes in the region’s meteorological records (Foden et al. 2007, IPCC 2021) which show marked increases in mean temperatures and decreases in water balance during the monitoring period. These may have led to surpassing of the species’ physiological thresholds in subpopulations in the warmest and driest parts of its range.

Secondly, based on observations (Foden 2002, Foden et al. 2007, Jack et al. 2016) and long-monitoring (van der Merwe and Geldenhuys 2017, Foden et al. unpublished), clear patterns of mortality and recruitment occur across latitude and elevation. The greater mortality in northern (i.e. equatorial, warm range-edge) and lower elevation subpopulations, and population age structure with a relatively high percentage of juveniles in southern populations is a characteristic signal of climate change impacts on a sedentary species (Foden et al. 2007).

Thirdly, species distribution models for A. dichotomum project losses of between 33% and 68% of currently suitable habitat space by 2070 based on RCPs 2.6 (likely emission scenario) and 8.5 (worst case scenario) respectively (Hausfather and Peters 2020). Models predict habitat gains which range from 84% and 99% by 2070, also based on RCPs 2.6 and 8.5 respectively (see attached Supporting Information document). The spatial patterns of change in habitat suitability approximately follow theory-based expectations for climate change, with losses more prevalent in warmer and drier, more northerly subpopulations as physiological tolerances of heat and water availability are crossed (Grey 2019). Modelled gains occur in more southerly range areas, which were historically too cold for the species, and areas of no change to 2070 remain in the southeast and along a mid-longitude mountainous ‘spine’ running north–south through much of the latitude range, under both RCPs. In order to predict if dispersal into modelled future suitable habitat is possible we considered palaeo-range reconstruction which indicates that this species would have retreated poleward and westward to climate refugia during the Last Glacial Maximum (LGM) where conditions would have remained suitable for the species to persist (Brodie et al. 2021). During this time, models predict that suitable habitat space for the species would have declined by 69% relative to its current distribution (Brodie et al. 2021). Following this, the species would have expanded its geographic range to its current extent at a rate of ~0.4 km/decade (Brodie et al. 2021). Subsequent modelling of its future geographic range predict a range expansion of the species by 191 km eastwards, with suitable habitat space being lost in the most northerly and westerly extents of its current range (Brodie et al. 2021). This range shift would require the species to migrate at a rate of 6 km/decade, which is a rate 15 times faster than its historical migration rate (Brodie et al. 2021), and one that is unlikely to be possible for such a slow-growing species. Since the species has not extended its range to date, despite clear climate change impacts, and the fact that there is high pressure on juvenile recruitment from wildlife and livestock grazing, and ongoing habitat degradation, a zero dispersal scenario is assumed. Under likely emission scenarios the population is predicted to decline by 33% by 2070 and is suspected to exceed 35% by the year 2102.

Menaces identifiées(4 menaces classées CMP-IUCN)

  • 2_3_1
    Nomadic grazing
    Rapid DeclinesMinority (<50%)Ongoing
  • 11_2
    Droughts
    Slow, Significant DeclinesMajority (50-90%)Ongoing
  • 3_2
    Mining & quarrying
    Slow, Significant DeclinesMinority (<50%)Ongoing
  • 5_2_1
    Intentional use (species is the target)
    Slow, Significant DeclinesMinority (<50%)Ongoing
Description complète des menacesExpert

Anthropogenic climate change is the primary current and long-term threat to this species. Climate models for the likely emission scenarios where emissions stay at present day levels (RCP2.6) (Hausfather and Peters 2020) and worst case scenarios where emissions continue to increase during the 21st century (RCP8.5) indicate that there will be a loss of suitable bioclimatic envelope of between 33% and 67% by 2070 for this species. Climate models also include new suitable habitat becoming available, an expansion of 84% of  suitable habitat under RCP2.6 emission scenario and 99%  areas are projected under the RCP8.5 scenario. However as mentioned above, only 5% of this predicted new range will likely be colonised.

For specific populations, further severe damage to all life stages including adult plants are caused by Greater Kudu (Tragelaphus strepsiceros), with this damage being more significant during drought years. For example, monitoring of 100 plants in a permanent plot at Prieska in the Northern Cape South Africa, demonstrated that 34% of the population died from Kudu damage during the drought that took place between 2015 and 2018. Livestock have also been observed to damage subpopulations especially juveniles. Despite these observations, the overall influence of non-climatic variables such as herbivory on Aloidendron dichotomum for the 40 subpopulations that have undergone long-term morning was  found to be small in comparison to the climatic influences (Kaleme 2003, Foden et al. 2007). However, recent drought events and their negative influence on grazing/browsing availability for wildlife, in combination with high concentrations of livestock, have increased pressure on many subpopulations (Geldenhuys 2019; P. van Wyk pers. comm. 2021).

Illegal collection is also a threat to this species, there is evidence that during the 1960s and 70s, truckloads of succulent seedlings were removed from the Richtersveld by plant collectors (Duncan et al. 2006). The illegal removal of wild Quiver Trees (A. dichotomum, A. pillansii and A. ramosissimum) from the Northern Cape is still a threat (Duncan et al. 2005, 2006, Powell 2005; E. Powell pers. comm. 2021).

The coincidence of high rainfall and wind speed events in the summer rainfall region puts the shallow rooting system of the species at risk. High rates of windthrow mortality have been found in large adults predominantly in the northern and eastern summer rainfall part of the distribution (Jack et al. 2016).

Much of the distribution of this species is also subject to mining industry expansion with associated direct loss of habitat and increased exposure to risks being a threat to the species (Duncan et al. 2005, Foden et al. 2007).

Habitats préférentiels (classification IUCN)

  • 2_1Savanna - Dry
  • 3_5Shrubland - Subtropical/Tropical Dry
Mesures de conservation recommandéesExpert

The species is listed in CITES Appendix II (CITES 2019), and present in 10 ex situ collections (BGCI 2020).

Portions of Aloidendrendon dichotomum’s distribution range occur within protected areas such as /Ai /Ais-Richtersveld Transfrontier Park, Namaqua National Park, Namib-Naukflut National Park and Tsau //Khaeb National Park, however, the extent to which these areas are able to mitigate the effects of climate change are not well understood.

Key research needs include determining rates of decay of tree carcasses which will allow more accurate estimation of mortality timing. Establishing growth rates, particularly of juveniles, is also needed. Both are possible through long-term monitoring, and appropriate methods are laid out by Van der Merwe and Geldenhuys (2017). Other needs include researching the conditions for successful germination and survival of young plants, but this relies on the availability of local climatic data, which are generally poor in this sparsely populated area. Grey et al. (2019) carried out laboratory experiments to establish cold tolerance thresholds for southern-most subpopulations. Expanding these to establish heat and moisture tolerance thresholds of the species’ and individual subpopulations is greatly needed, including for validating species distribution models.

To understand the species’ dispersal/migration potential, research into seed dispersal mechanisms and distances, as well as pollinator types and dispersal distances are needed. Recent work by Brodie et al. (2021) on paleo-historical range shifts relative to major climatic shifts helps to understand the species’ potential for climatic responses, but population genetics studies are needed to better determine species’ colonisation potential in the future.

Research on the scope and severity of non-climatic threats is highly recommended, including on the role of herbivore and insect damage at subpopulation and species scales. 

Stress écologiques (7)Expert
  • 1_1Ecosystem conversion
  • 1_2Ecosystem degradation
  • 1_2Ecosystem degradation
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
  • 2_1Species mortality
Usage & commerce (1)Expert
  • 13Pets/display animals, horticulture
    internationalnational
Priorités de recherche (3)Expert
  • 1_2Population size, distribution & trends
  • 1_5Threats
  • 3_1Population trends
Niche IUCN globaleExpert

Royaumes biogéographiques

Afrotropical

Systèmes (terrestre/eau douce/marin)

Terrestrial

Formes de croissance

Succulent - tree
Références bibliographiques (30)Expert
  1. IUCN. 2022. The IUCN Red List of Threatened Species. Version 2022-1. Available at: <a href="www.iucnredlist.org">www.iucnredlist.org</a>. (Accessed: 21 July 2022).
  2. Brodie, L. P., Grey, K. A., Bishop, J. M. and Midgley, G. F. 2021. Broadening predictive understanding of species’ range responses to climate change: The case of <i>Aloidendron dichotomum</i>. <i>Frontiers in Ecology and Evolution</i> 9: 715702.
  3. IPCC. 2021. <i>Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change</i>. Cambridge University Press. In Press.
  4. Hausfather, Z. and Peters, G.P. 2020. Emissions - the 'business as usual' story is misleading. <i>Nature</i> 577: 618-620.
  5. BGCI. 2020. Botanic Gardens Conservation International (BGCI) - Plant Search. Available at: <a href="https://tools.bgci.org/plant_search.php">https://tools.bgci.org/plant_search.php</a>.
  6. Grey, K. 2019. Are local range expansions in southerly populations of <i>Aloidendron dichotomum</i> early indicators of a future range shift? MSc. dissertation Biological Sciences, University of Cape Town.
  7. CITES - The Convention on International Trade in Endangered Species of Wild Fauna and Flora. 2019. Appendices I, II and III valid from 26 November 2019. Available at: <a href="https://www.cites.org/eng/app/appendices.php">https://www.cites.org/eng/app/appendices.php</a>. (Accessed: March 2020).
  8. Geldenhuys, C. 2019. <i>Aloidendron dichotomum</i> long-term monitoring project. Department of Environment and Nature Conservation, Northern Cape, South Africa.
  9. Van der Merwe, H. and Geldenhuys, C. 2017. Proposed long-term monitoring protocol and applications for <i>Aloidendron dichotomum</i> populations. <i>South African Journal of Botany</i> 109: 253-262.
  10. Jack, S.L., Hoffman, M.T., Rohde, R.F. and Durbach, I. 2016. Climate change sentinel or false prophet? The case of <i>Aloe dichotoma</i>. <i>Diversity and Distributions</i> 22(7): 745-757.
  11. Gallaher, K.S.L. 2014. The influence of rainfall seasonality and climate change on the demography of <i>Aloe dichotoma</i>, a long-lived succulent tree from semi-arid Southern Africa. MSc Thesis. University of Cape Town.
  12. Van Wyk, B.-E. and Smith, G.F. 2014. <i>Guide to the Aloes of South Africa</i>. Briza Publications, Pretoria.
  13. Van Blerk, J. 2013. A simulated history of <i>Aloe dichotoma</i> recruitment and its link to rainfall: Insights from an isolated population near Kenhardt. Botany Department, Doctoral dissertation, University of Cape Town.
  14. Cousins, S.R. and Witkowski, E.T.F. 2012. African aloe ecology: a review. <i>Journal of Arid Environments</i> 85: 1-17.
  15. Jürgens, N., Schmiedel, U., Haarmeyer, D.H., Dengler, J., Finckh, M., Goetze D., Gröngröft, A., Hahn, K., Koulibaly, A, Luther-Mosebach, J., Muche, G., Oldeland, J., Petersen, A, Porembski, S., Rutherford, M.C., Schmidt, M., Sinsin, B., Strohbach, B.J, Thiombiano, A., Wittig, R. and Zizka, G. 2012. The BIOTA Biodiversity Observatories in Africa—a standardized framework for large-scale environmental monitoring. <i>Environmental Monitoring and Assessment </i> 184: 655-678. DOI: 10.1007/s10661-011-1993-y.
  16. Jack, S.L. 2012. Revisiting <i>Aloe dichotoma</i>’s suitability as an indicator of climate change in southern Africa. MSc Thesis. University of Cape Town.
  17. Moore, J. 2011. Addictive Aloes. <i>Cactus and Succulent Journal</i> 83(2): 57-60.
  18. Van Jaarsveld, E. 2011. The tree Aloes of Southern and Eastern Africa. <i>Cactus and Succulent Journal</i> 83(1): 9-21.
  19. Hoffman, M.T., Rohde, R.F., Duncan, J. and Kaleme, P. 2011. Repeat photography, climate change, and the long‐term population dynamics of tree aloes in southern Africa. Repeat photography: methods and applications in the natural sciences. In: R.H. Webb, D.E. Boyer and R.M. Turner (eds), <i>Repeat Photography-Methods and Applications in the Natural Sciences</i>, pp. 133-142. Island Press, Washington DC.
  20. Smith, G.F. and Van Wyk, B. 2009. <i>Aloes in Southern Africa</i>. Struik Nature, Cape Town.
  21. Foden, W., Midgley, G.F., Hughes, G., Bond, W.J., Thuiller, W., Hoffman, M.T., Kaleme, P., Underhill, L.G., Rebelo, A. and Hannah, L. 2007. A changing climate is eroding the geographical range of the Namib Desert tree Aloe through population declines and dispersal lags. <i>Diversity and Distributions</i> 13: 645-653.
  22. Lovett, J.C. 2007. Climate change and Africa: an ecological perspective. Volume 4, number 2 - July 2007. Centre for Ecology, Law and Policy Environment Department University of York. <i>BGjournal : Journal of Botanic Gardens Conservation International</i> 4(2): 30-33.
  23. Duncan, J., Hoffman, T., Rohde, R., Powell, E. and Hendricks, H. 2006. Long-term population changes in the Giant Quiver tree, <i>Aloe pillansii</i> in the Richtersveld, South Africa. <i>Plant Ecology</i> 185: 73-84.
  24. Powell, E. 2005. Can the plunder of quiver trees be controlled? <i>Veld & Flora</i> 91(2): 70-72.
  25. Duncan, J., Hoffmann, T. and Rohde, R. 2005. Is the flagship of the Richtersveld sinking? <i>Veld & Flora</i> 91(4): 180-181.
  26. Burke, A. 2004. From plains to inselbergs: species in special habitats as indicators for climate change? <i>Journal of Biogeography</i> 31(5): 831-841. DOI: 10.1046/j.1365-2699.2003.00984.x.
  27. Kaleme, P.K. 2003. Regional differences in the long-term population dynamics of a succulent tree, <i>Aloe dichotoma</i> in the semi-arid Karoo, South Africa as revealed by repeat photography. Unpublished MSc thesis, University of Cape Town.
  28. Foden, W. 2002. A demographic study of <i>Aloe dichotoma</i> in the Succulent Karoo: Are the effects of climate change already apparent. MSc Thesis. University of Cape Town.
  29. Midgley, J.J., Cowling, R.M., Hendricks, H., Desmet, P.G., Esler, K. and Rundel, P. 1997. Population ecology of tree succulents (<i>Aloe</i> and <i>Pachypodium</i>) in the arid western Cape: decline of keystone species. <i>Biodiversity and Conservation</i> 6: 869-876.
  30. Nobel, P.S. 1984. Extreme temperatures and thermal tolerances for seedlings of desert succulents. <i>Oecologia </i> 62(310-317).
Évaluateurs & contributeurs (3)Expert
assessor
Foden, W., Raimondo, D., Eastment, C., Grey, K.-A., Geldenhuys, C., Van Wyk, P.C.V., Jürgens, N., Hoffman, M.T., Swart, E., Midgley, G.F. & Guo, D.
contributor
Martínez Richart, A.I.
evaluator
Mtshali, H. & Hilton-Taylor, C.

Foden, W., Raimondo, D., Eastment, C., Grey, K.-A., Geldenhuys, C., Van Wyk, P.C.V., Jürgens, N., Hoffman, M.T., Swart, E., Midgley, G.F. & Guo, D. 2022. Aloidendron dichotomum. The IUCN Red List of Threatened Species 2022: e.T140661836A140666503. Accessed on 05 May 2026.

Répartition mondiale (heatmap GBIF)Construction en cours

0 obs · 0 cellules
Construction par partitions temporelles GBIF0%

Source : GBIF — observations agrégées par hexagones 0.2° × 0.2° (~22km). Filtre qualité : précision coordonnée < 10 km. Coloration quantile (q50/70/90/99). Fond carte : OpenFreeMap · © OpenStreetMap.

Distribution mondiale

Calcul de la distribution GBIF· ~10–60 s

Phénologie

Calcul du calendrier d'apparition· ~5–30 s

Consulter sur les bases externes

Observations & statuts

Cartographie

Bibliographie

Note nomenclaturale & synonymesExpert

Note nomenclaturale

TAXREF v18 — INPN/MNHN

Synonymes (5)— redirigent vers cette page

  • Aloe dichotomaMasson
  • Aloe dichotoma var. montana(Schinz) A.Berger
  • Aloe montanaSchinz
  • Aloe ramosaHaw.
  • Rhipidodendrum dichotomum(Masson) Willd.

Sources : Catalogue of Life Cross-References (synonymes) · TAXREF v18 INPN/MNHN (commentaires FR).